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Traffic analytics: predicted danger probabilities from collected traffic surveillance data. John Michael L. Samiley

By:
  • Samiley, John Michael L
Material type: TextTextPublication details: Las Pinas City Southville International School and Colleges 2023Description: xii, 75 pages; 28cmSubject(s):
  • Traffic safety — Data analysis
  • Traffic engineering — Predictive models
  • Traffic — Risk assessment and prediction
LOC classification:
  • TA 340 .Sa26 2023
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  • Holdings ( 1 )
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Item type Current library Call number Status Barcode
Theses Theses College Library Theses Section TA 340 .Sa26 2023 (Browse shelf(Opens below)) Not for loan T1368

Bachelor of Science in Information Technology.

Includes bibliographical references and appendices.

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Traffic analytics:

APA

Samiley J. M. L., . (2023). Traffic analytics. Las Pinas City: Southville International School and Colleges.

Chicago

Samiley John Michael L, . 2023. Traffic analytics. Las Pinas City: Southville International School and Colleges.

Harvard

Samiley J. M. L., . (2023). Traffic analytics. Las Pinas City: Southville International School and Colleges.

MLA

Samiley John Michael L, . Traffic analytics. Las Pinas City: Southville International School and Colleges. 2023.

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SOUTHVILLE LIBRARY

Southville International School and Colleges Library

1281 Tropical Ave. Cor. Luxembourg St., BF Homes International, Las Pinas City

Tel. No. 8256374 / 252358 Loc. 117/146

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